predictions

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Published By: Intralinks     Published Date: Nov 04, 2019
When it comes to tailoring your investment products for 2020, it’s important to gain an understanding of how LPs are thinking about their alternative allocation programs – from GP selection criteria to investment vehicle preferences. How will the industry shape up in 2020? Here is a brief recap of Intralinks survey predictions from last year: • Preferred GP size: USD 100 to USD 500 million AUM range • Most favorable investment method: direct investing • Highest confidence: private equity In conjunction with Private Equity Wire, Intralinks reached out to over 180 LPs across the globe. We asked for their thoughts on a variety of topics including where they’re looking to invest capital over the next 12 months. Their answers helped us craft our thoughts on the forthcoming fundraising environment. Now, what follows is Intralinks’ 2020 forecast.
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Intralinks
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: Google - SAP     Published Date: Nov 01, 2019
"Report: 2019 Predictions for Customer Data Management Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019? In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace. You’ll discover: Forecasts for the future of data protection and consumer privacy regulations Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
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Google - SAP
Published By: Engagio     Published Date: Oct 10, 2019
Read the report today! Want to make sure you're investing in the right ABM technology? Research in Action released the Top 20 Global Vendors for ABM in 2019 using their proprietary Vendor Selection Matrix™, and Engagio was the #1 Global winner! Read the report to learn why Engagio placed #1 based on 1,500 customer interviews and Research in Action's independent analysis of each vendor. Read the report to discover: The top 20 global ABM providers and how they measure up How to select the right technology for your ABM needs 5 insights and predictions for ABM by Research in Action
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Engagio
Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
Forbes recently referred to robotic process automation (RPA) as “a gateway drug to AI,” referencing its low barrier to entry compared to other technology choices within the AI realm. But while experts continue to tout the future of RPA, what can we expect of it in the short-term? Jump into this resource to get a peek at how experts are predicting RPA’s 2019 will pan out, including notable market shifts, major technology disruptions, and entirely new RPA use cases.
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rpa, digital workforce, productivity, ocr
    
Automation Anywhere APAC
Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage
Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys
Published By: Emarsys - APAC     Published Date: Jun 12, 2019
It’s time to look ahead. We have outlined 5 predictions that we believe marketers should be preparing for in the next 5 years. In this whitepaper, we’ll cover how: • Blockchain will become a greater core component of marketing. • Display advertising as we know it will finally die. • Cross-device identification will become a necessary part of omnichannel marketing. • Voice re-emerges as a distinct channel and internet interface. • All marketing will be done in real time.
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Emarsys - APAC
Published By: HERE Technologies     Published Date: May 31, 2019
Rich, real-time location intelligence is shaping the future of the third-party logistics (3PL) industry, powering some of the most innovative new technologies behind the smartest, most efficient and environmentally sustainable 3PLs in the industry. Rapid growth in the industry over the next five years will see competition driving further technology and location intelligence innovation. This eBook predicts five ways in which this will result in smarter work patterns and new business-critical technologies. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes), HERE can help 3PL companies develop key competitive advantages.
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industry, solutions, tracking data, technologies, predictions, customer, automation, logistics
    
HERE Technologies
Published By: Fidelis Cybersecurity     Published Date: May 15, 2019
Its the start of a new year and amidst the countless predictions flooding the internet, one things for certain 2019 is shaping up to be the year of cloud adoption. Analysts are expecting that enterprise adoption of cloud will ramp up significantly, but with this migration and the continued adoption of mobile and IoT technologies, the attack surface is changing dramatically and this has major implications for security. Fundamentally, security boundaries extend from on premises infrastructure to cloud service provider environments where perimeters no longer exist. Organizations cannot defend themselves with the same strategies and tactics that applied when it did. In this brave new world of cloud, IoT and mobile technology, organizations must be agile and shift, extend, and evolve their perimeter-based defense practices to those that are more robust. Further, a comprehensive defense in depth approach enables defense of high value assets amidst a more unpredictable cyber security landsca
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Fidelis Cybersecurity
Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
Published By: Automation Anywhere APAC     Published Date: Apr 18, 2019
Forbes recently referred to robotic process automation (RPA) as “a gateway drug to AI,” referencing its low barrier to entry compared to other technology choices within the AI realm. But while experts continue to tout the future of RPA, what can we expect of it in the short-term? Jump into this resource to get a peek at how experts are predicting RPA’s 2019 will pan out, including notable market shifts, major technology disruptions, and entirely new RPA use cases.
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Automation Anywhere APAC
Published By: Epicor     Published Date: Apr 12, 2019
As a business leader of a manufacturing company, you may be experiencing the challenges of competing in a digitally transformed marketplace. In our increasingly digital world, your ability to grow depends on how your business leverages the latest best-practice technology. Is your enterprise resource planning (ERP) system keeping pace? In this Forrester Research report—presented by Epicor Software—you’ll discover the latest insights on software as a service (SaaS) business solutions. SaaS business applications will evolve in the cloud to new levels of value in: Intelligence Flexibility Connectivity User experience The report also provides predictions and recommendations that will help guide your manufacturing business with its strategic growth initiatives. Download the report to learn more, and discover why you should change the way you think about cloud.
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epicor erp, saas, applications
    
Epicor
Published By: Epicor     Published Date: Apr 11, 2019
As a manufacturer, your ability to grow in this digital marketplace depends on how you leverage the latest best-practice technology. Is your enterprise resource planning (ERP) system keeping pace? This Forrester Research report—presented by Epicor Software—details the latest insight on software as a service (SaaS) business solutions. SaaS applications will evolve in the cloud to new levels of value in: • Intelligence • Flexibility • Connectivity • User experience Read the report for predictions and recommendations to help guide your strategic growth initiatives.
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Epicor
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Oracle     Published Date: Feb 22, 2019
Predicting the future of the enterprise cloud by 2025—your company in the cloud.
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Oracle
Published By: Automation Anywhere     Published Date: Feb 21, 2019
A recent Forbes article called robotic process automation (RPA) “a gateway drug to artificial intelligence (AI)”. In other words, RPA, provides organizations with a low barrier to entry into the AI world along with many of its benefits. Call it dipping a toe in the AI waters. What’s clear is RPA is on a tipping point. But will this growth continue? In this e-book we explore 7 predictions for the RPA market in 2019 from the market-leading platform, Automation Anywhere.
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Automation Anywhere
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result. Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind. Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
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BMC ASEAN
Published By: Mintigo     Published Date: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more. This paper will cover: • The benefits, evolution and capabilities of AI technology solutions for B2B organizations • The core and extended capability groups of AI • The business priorities supported by AI Fill out the form to get your free copy!
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Mintigo
Published By: TradeGecko     Published Date: Aug 15, 2018
2018 is going to a big year for wholesale distribution. Thanks to constant advancements in B2B technologies and capabilities, wholesale is fast catching up with retail, through omnichannel selling, digitalization and global online marketplaces, amongst others. So, what do these predictions mean for the APAC wholesale market? As buyers come to expect instant, sophisticated and customised service as standard, wholesale businesses will need to embrace technologies that allow them to provide a customer experience on par with B2C. Download this eBook to understand the most important trends in wholesale distribution in APAC.
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TradeGecko
Published By: Bronto     Published Date: May 31, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
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trends, ecommerce, marketing, strategy
    
Bronto
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: Trend Micro     Published Date: May 03, 2018
Skills and resources — these are the two elements that make up an attacker’s arsenal. An attacker, however, cannot set out to break security or even perform sophisticated attacks without finding weak points in a system first. Massive malware attacks, email-borne heists, hacked devices, and disrupted services — all of these require a vulnerability in the network, whether in the form of technology or people, in order to be pulled off. Trend Micro has looked into the current and emerging threats, as well as the security approaches tailored for the landscape. Read on to find out how to make informed decisions with regard to the security focus areas that will figure prominently in 2018.
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Trend Micro
Published By: Emarsys     Published Date: Mar 19, 2018
The one thing these powerful brands have in common? Data. The growth of data has brought us to the tipping point between brand and customer. Before the digital age, the biggest and best brands had just that – a brand, which THEY controlled. Now, a brand is powerful because of the data it collects and how it uses it to serve its customers. The value of data is only going to increase as we move from a handful of brands owning first-party data to a greater democratization of information. As a result, consumers will have much more control over their personal data and more companies will be able to generate their own first-party data. Once again, it’s time to look ahead to identify the trends and technologies that are most likely to survive the hype cycle and become the must-haves of the near future. Here we take all we learned over the past year and craft our strategies for the future. We explore the five predictions we believe marketers should be excited about and prepare for over the ne
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Emarsys
Published By: FICO     Published Date: Mar 02, 2018
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve. This article targets: · Steps in the analytics supply chain and the vital role of data and analytic models · How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products; · Key questions to ask yourself in determining where you need to fix your analytics supply chain.
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supply, chain, analytics, employee, optimization, organisations, productivity
    
FICO
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